Advances in clinical application of artificial intelligence in retinopathy of prematurity
Artificial intelligence(AI),a branch of computer science has achieved significant breakthroughs in intelligent healthcare.AI holds tremendous potential in eye diseases such as retinopathy of prematurity(ROP),diabetic retinopathy(DR),and exudative age-related macular degeneration(AMD).Numerous AI studies have been conducted both domestically and internationally on the diagnosis and treatment of ROP,demonstrating high accuracy in diagnosis and prognosis.Through telemedicine technology,AI can enhance the screening efficiency for infants with ROP and reduce complications,so that alleviate the burden on society,healthcare workers and patients.Despite the potential demonstrated by AI in ROP screening systems,its widespread application in clinical practice has not yet been realized,with most researches still in the experimental phase and facing various challenges.Also,current researches on AI for intelligent treatment guidance on ROP is still insufficient.Furthermore,AI in ROP telemedicine technology continues to confront stringent requirements regarding to image quality and shooting orientation,as well as potential risks associated with data security.Therefore,future development could further establish and refine intelligent diagnostic algorithms and predictive models for ROP and introduce this technology to the bedside of infants to reduce the incidence of blindness caused by ROP.This article highlights the potential of AI in reducing the blindness rate from ROP and proposes directions for future research to lay the foundation for its widespread implementation in clinical practice.
artificial intelligenceretinopathy of prematuritytelemedicine
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